Recent research published in the journal Measurement + Control highlights significant advancements in biomass supply chain planning, a crucial area for enhancing renewable energy production. The study, led by Chia-Nan Wang from the Department of Industrial Engineering and Management at the National Kaohsiung University of Science and Technology in Taiwan, introduces a multi-objective mixed integer linear programming model designed to optimize biomass distribution networks.
Biomass energy is increasingly recognized for its potential to reduce reliance on fossil fuels and lower greenhouse gas emissions. It can also provide heat, electricity, and biofuels, making it a versatile energy source. This research emphasizes the dual benefits of biomass: not only does it support energy sustainability, but it also has the potential to create jobs and stimulate rural development, particularly in regions rich in biomass resources, such as developing countries.
The newly developed model focuses on two primary objectives: minimizing economic costs and mitigating environmental impacts associated with biomass distribution from suppliers to energy plants. By employing the Epsilon constraint method, the researchers were able to generate Pareto fronts, which illustrate the trade-offs between these objectives. This approach allows decision-makers to visualize how adjustments in one area might affect the other, providing a clearer picture of the overall efficiency and sustainability of the biomass supply chain.
Wang’s research also includes a sensitivity analysis, which helps stakeholders understand how changes in parameters, such as demand, can impact the network’s performance. The model enables decision-makers to optimize various aspects of the supply chain, including the capacity of warehouses and biomass power plants, inventory levels, and the types of trucks used for transportation.
The practical application of this model was demonstrated using data from Can Tho province in Vietnam’s Central Mekong River Delta. With the network comprising three types of power plants, three scales of warehouses, 13 potential locations, and 41 suppliers, the study revealed that the industrial parks of Hung Phu, O Mon, and Cai Rang are particularly well-suited for biomass electricity generation, with the potential to satisfy electricity needs ranging from 5% to 30%.
This research presents commercial opportunities for sectors involved in renewable energy, logistics, and rural development. By optimizing biomass supply chains, companies can not only improve their operational efficiency but also contribute to a more sustainable energy landscape. As Wang notes, the findings underscore the importance of strategic planning in harnessing biomass resources effectively, paving the way for more resilient energy systems.